dcmatrix                Calculates distance covariance and distance
                        correlation matrices
dcorgaussianbiv         Calculates distance correlation from Pearson
                        correlation under assumption of a bivariate
                        normal distribution
dcsis                   Performs distance correlation sure independence
                        screening (Li et al. 2012) with some additional
                        options (such as calculating corresponding
                        tests).
distcor                 Calculates the distance correlation (Szekely et
                        al. 2007; Szekely and Rizzo 2009).
distcov                 Calculates the distance covariance (Szekely et
                        al. 2007; Szekely and Rizzo 2009).
distcov.test            Performs a distance covariance test.
distsd                  Calculates the distance standard deviation
                        (Edelmann et al. 2020).
extract_np              Extract the dimensions of X.
hsplot                  Plots Pearson/Spearman/Kendall correlation
                        against distance correlation (often resembling
                        a horseshoe(hs)).
ipcw.dcor               Calculates an inverse-probability-of-censoring
                        weighted (IPCW) distance correlation based on
                        IPCW U-statistics (Datta et al. 2010).
ipcw.dcov               Calculates an inverse-probability-of-censoring
                        weighted (IPCW) distance covariance based on
                        IPCW U-statistics (Datta et al. 2010).
ipcw.dcov.test          Performs a permutation test based on the IPCW
                        distance covariance.
plot.dcmatrix           Plots a heatmap from a dcmatrix object using
                        the function "pheatmap" from the package
                        "pheatmap".
